{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [],
   "source": [
    "#导入库\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "plt.rcParams['font.sans-serif']=['SimHei']# 用来正常显示中文标签\n",
    "from datetime import datetime"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 1.初识数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 8757 entries, 0 to 8756\n",
      "Data columns (total 6 columns):\n",
      " #   Column     Non-Null Count  Dtype \n",
      "---  ------     --------------  ----- \n",
      " 0   author     8757 non-null   object\n",
      " 1   rating     8757 non-null   int64 \n",
      " 2   time       8757 non-null   object\n",
      " 3   year       8757 non-null   int64 \n",
      " 4   amount     8757 non-null   int64 \n",
      " 5   frequency  8757 non-null   int64 \n",
      "dtypes: int64(4), object(2)\n",
      "memory usage: 410.6+ KB\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>author</th>\n",
       "      <th>rating</th>\n",
       "      <th>time</th>\n",
       "      <th>year</th>\n",
       "      <th>amount</th>\n",
       "      <th>frequency</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>YOUNG</td>\n",
       "      <td>60</td>\n",
       "      <td>2019/2/28</td>\n",
       "      <td>2019</td>\n",
       "      <td>110</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>SHING YAN</td>\n",
       "      <td>100</td>\n",
       "      <td>2019/2/28</td>\n",
       "      <td>2019</td>\n",
       "      <td>110</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Sha</td>\n",
       "      <td>60</td>\n",
       "      <td>2019/2/28</td>\n",
       "      <td>2019</td>\n",
       "      <td>110</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Mary Mae</td>\n",
       "      <td>100</td>\n",
       "      <td>2019/2/28</td>\n",
       "      <td>2019</td>\n",
       "      <td>110</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Maria Cristina</td>\n",
       "      <td>100</td>\n",
       "      <td>2019/2/28</td>\n",
       "      <td>2019</td>\n",
       "      <td>110</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           author  rating       time  year  amount  frequency\n",
       "0           YOUNG      60  2019/2/28  2019     110          1\n",
       "1       SHING YAN     100  2019/2/28  2019     110          1\n",
       "2             Sha      60  2019/2/28  2019     110          1\n",
       "3        Mary Mae     100  2019/2/28  2019     110          1\n",
       "4  Maria Cristina     100  2019/2/28  2019     110          1"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('kelu.csv')\n",
    "df.info()\n",
    "# 基本信息：门票价格101，数据来自16年~19年，8K+多数据量\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rating</th>\n",
       "      <th>year</th>\n",
       "      <th>amount</th>\n",
       "      <th>frequency</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>8757.000000</td>\n",
       "      <td>8757.000000</td>\n",
       "      <td>8757.0</td>\n",
       "      <td>8757.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>92.417495</td>\n",
       "      <td>2017.760420</td>\n",
       "      <td>110.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>14.231179</td>\n",
       "      <td>0.686734</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>20.000000</td>\n",
       "      <td>2016.000000</td>\n",
       "      <td>110.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>80.000000</td>\n",
       "      <td>2017.000000</td>\n",
       "      <td>110.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>100.000000</td>\n",
       "      <td>2018.000000</td>\n",
       "      <td>110.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>100.000000</td>\n",
       "      <td>2018.000000</td>\n",
       "      <td>110.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>100.000000</td>\n",
       "      <td>2019.000000</td>\n",
       "      <td>110.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            rating         year  amount  frequency\n",
       "count  8757.000000  8757.000000  8757.0     8757.0\n",
       "mean     92.417495  2017.760420   110.0        1.0\n",
       "std      14.231179     0.686734     0.0        0.0\n",
       "min      20.000000  2016.000000   110.0        1.0\n",
       "25%      80.000000  2017.000000   110.0        1.0\n",
       "50%     100.000000  2018.000000   110.0        1.0\n",
       "75%     100.000000  2018.000000   110.0        1.0\n",
       "max     100.000000  2019.000000   110.0        1.0"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()\n",
    "#根据平均分92，和1/2分位得知，大多数用户评分在100，效果非常不错。\n",
    "#16年~19年门票价格都是110\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 2.分析数据"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## a1.每天销量分析"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x18b0dad9f88>"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df['time'] = pd.to_datetime(df['time'],format='%Y/%m/%d')\n",
    "df.groupby('time')['rating'].count().plot(figsize=(12,4))\n",
    "#整体来看每日销量呈现上升趋势，但是在18年5月份前后（2，3，4）出现一次较大的波动，销量急剧下滑，猜测：台风，疫情，运营推广不利\n",
    "#16年9月~17年1月，销量非常低，每天平均2-3张门票，猜测：101观景台门票刚刚上线发售，观景台刚刚对游客进行开放"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## a2.每月销量分析"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '16~19年每月销量分析')"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df['month'] = df['time'].values.astype('datetime64[M]')  #保留月份精度的日期\n",
    "df.head()\n",
    "df.groupby('month')['rating'].count().plot(figsize=(12,4))  #按照月份进度进行计数\n",
    "plt.xlabel('月份')\n",
    "plt.ylabel('销售数量')\n",
    "plt.title('16~19年每月销量分析')\n",
    "#月份整体销量依然呈现上升趋势，但是在18年2，3，4月份月销量下滑明显。跟每天销量下降有关。猜测：台风，疫情，运营推广不利"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## a3.每个用户的购买量和消费金额分析"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>group_1</th>\n",
       "      <th>score</th>\n",
       "      <th>group_2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>lisi</td>\n",
       "      <td>B</td>\n",
       "      <td>90</td>\n",
       "      <td>D</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   name group_1  score group_2\n",
       "0  lisi       B     90       D"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#merge用法，相当于sql当中join：\n",
    "df1 = pd.DataFrame({\n",
    "    'name':['zhangsan','lisi'],\n",
    "    'group':['A','B']\n",
    "})\n",
    "df2 =  pd.DataFrame({\n",
    "    'name':['wangwu','lisi'],\n",
    "    'score':[88,90],\n",
    "    'group':['C','D']\n",
    "})\n",
    "pd.merge(left=df1,right=df2,on='name',how='inner',suffixes=['_1','_2'])\n",
    "#left：左表   right:右表   on：关联字段 how：inner（默认值，交集）|outer（并集）|left（只保留左侧）|right（只保留右侧）\n",
    "#suffixes:如果两个表中有多个相同列，用suffixes给的值进行区分(默认值xy)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, '消费金额')"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#按照游客分组，统计每个游客的购买次数\n",
    "grouped_count_author = df.groupby('author')['frequency'].count().reset_index() \n",
    "#按照游客分组，统计每个游客的消费金额\n",
    "grouped_sum_amount = df.groupby('author')['amount'].sum().reset_index()\n",
    "user_purchase_retention = pd.merge(left=grouped_count_author,\n",
    "                                  right=grouped_sum_amount,\n",
    "                                  on='author',\n",
    "                                  how='inner')\n",
    "user_purchase_retention.tail(60)\n",
    "user_purchase_retention.plot.scatter(x='frequency',y='amount',figsize=(12,4))\n",
    "plt.title('用户的购买次数和消费金额关系图')\n",
    "plt.xlabel('购物次数')\n",
    "plt.ylabel('消费金额')\n",
    "#结论：斜率就是门票价格110，用户的消费金额和消费次数呈现线性关系"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## b1.用户购买门票数量分析"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '用户购买门票数量直方图')"
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.groupby('author')['frequency'].count().plot.hist(bins=50)  #影响柱子的宽度，宽度= （最大值-最小值）/bins\n",
    "plt.xlim(1,17)\n",
    "plt.xlabel('购买数量')\n",
    "plt.ylabel('人数')\n",
    "plt.title('用户购买门票数量直方图')\n",
    "#绝大多数用户购买过1张门票，用户在7000人次左右\n",
    "# 少数人购买过2~4张门票，猜测：可能是台北周边用户"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## b2.用户购买门票2次及以上情况分析"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '购买门票在2次及以上的用户数量')"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_frequency_2 = df.groupby('author').count().reset_index()\n",
    "df_frequency_2.head()\n",
    "df_frequency_2[df_frequency_2['frequency']>=2].groupby('author')['frequency'].sum().plot.hist(bins=50)\n",
    "plt.xlabel('购买数量')\n",
    "plt.ylabel('人数')\n",
    "plt.title('购买门票在2次及以上的用户数量')\n",
    "#消费两次的用户在整体上占比较大，大于2次的用户占小部分，用户购买次数最多为8次"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## b3.查看购买2次及以上的具体人数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "frequency\n",
       "2     402\n",
       "3      99\n",
       "4      49\n",
       "5      25\n",
       "6      13\n",
       "7       7\n",
       "8       4\n",
       "11      1\n",
       "13      1\n",
       "15      1\n",
       "18      1\n",
       "Name: author, dtype: int64"
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_frequency_2[df_frequency_2['frequency']>=2].groupby('frequency')['author'].count()\n",
    "#出去购买一次的顾客，可以看出购买2次有402人，购买3次的99人，以此类推得知大多数据倾向于购买2~5"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## b4.购买次数在1~5次之间的用户占比分析"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[7119, 402, 99, 49, 25]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x18b0e1ef0c8>"
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#1.按照用户进行分组  2.取出购买次数  3.过滤出1~5次用户  4.绘制饼图\n",
    "df_frequency_gte_1 = df.groupby('author')['frequency'].count().reset_index()\n",
    "#过滤出<=5次的用户\n",
    "values = list(df_frequency_gte_1[df_frequency_gte_1['frequency']<=5].groupby('frequency')['frequency'].count())\n",
    "print(values)\n",
    "plt.pie(values,labels=['购买1次','购买2次','购买3次','购买4次','购买5次'],autopct='%1.1f%%')\n",
    "plt.title('购买次数在1~5次之间的人数占比')\n",
    "plt.legend()\n",
    "#可以看出购买一次的占比83%，其次逐渐递减。并且递减比较明显，购买3.4.5的占比相近，人数都很少。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## b5.购买次数在2~5次之间的用户占比分析"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[402, 99, 49, 25]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x18b0e2d3208>"
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#过滤出>=2次并且<=5次的用户\n",
    "df_frequency_gte_2 = df_frequency_2[df_frequency_2['frequency']>=2].reset_index()\n",
    "values = list(df_frequency_gte_2[df_frequency_gte_2['frequency']<=5].groupby('frequency')['frequency'].count())\n",
    "print(values)\n",
    "plt.pie(values,labels=['购买2次','购买3次','购买4次','购买5次'],autopct='%1.1f%%')\n",
    "plt.title('购买次数在2~5次之间的人数占比')\n",
    "plt.legend()\n",
    "#在2~5次之间，购买2.3次用户占比最大，综合占据了80%"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## c1.复购率分析"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '16~19年每月用户复购率')"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#复购率：在某一时间窗口内(多指一个月)内消费次数在两次及以上的用户在总消费用户的占比\n",
    "df.head()\n",
    "pivot_count = df.pivot_table(index='author',\n",
    "                            columns='month',\n",
    "                            values='frequency',\n",
    "                            aggfunc='count').fillna(0)\n",
    "pivot_count.head()\n",
    "#三种情况：\n",
    "#消费次数>1，为复购用户，用1表示\n",
    "#消费次数=1，为非复购用户，用0表示\n",
    "#消费次数=0, 未消费用户，用na表示\n",
    "#applymap:df，处理每一个元素\n",
    "#apply:df，处理每一行或者每一列数据\n",
    "#map:Serise，处理每一个元素\n",
    "pivot_count = pivot_count.applymap(lambda x: 1 if x>1 else np.NAN  if x==0 else 0)\n",
    "# pivot_count[pivot_count['2016-09-01']==1]\n",
    "(pivot_count.sum()/pivot_count.count()).plot()\n",
    "plt.xlabel('时间(月)')\n",
    "plt.ylabel('百分比(%)')\n",
    "plt.title('16~19年每月用户复购率')\n",
    "#16年9月份复购率最高达到了7.5%，然后开始下降，趋于平稳在1.2%"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## c2.复购用户人数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '16~19年每月的复购人数折线图')"
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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CksqxYG+MMWFW1zbxGPvxVpXmsnx+Dtt2hj6VY8HeGGPCqKN3iI6+oUmHXfrzpXKeebmN5s7+kLbDgr0xxoSRp80tgBZAzx6cFaxU4cFdoR1zb8HeGGPCyBPAsEt/y+fnsrosN+QTrCzYG2NMGI0tWhJgsAend7/D46WhvS9k7bBgb4wxYVTX2ktJTjrZ6SkB73PFhgoAHghhKseCvTHGhJGnrYfKoswZ7bOkJJu1FXkhTeVYsDfGmDCqb+s7aSnCQG3dUMHz9e3Uu2mgYIUt2ItIqYg87n6fKiL3i8gTIvKucJ3TGGNiycDwCA0dfTPK1/ts3VAOwPYQpXLCEuxFpBD4KeC7nX0EqFbVVwPXiEhuOM5rjDGx5Ii3D9WZPZz1WVSUxcZFBSFbjDxcPfsR4E1Ap/v6AuA37vePAZsn2klEbhCRHSKy49ixY2FqmjHGRIZvJE4gs2cn8sqlxexv6mR0VINuS1iCvap2qmqH31vZwFH3+zagdJL97lLVzaq6ed68eeFomjHGRMxYaeNZBvuKggyGRpTjPcEXRovUA9puwPc4OieC5zXGmKjxtPaSmZrMvJz0We1fnu+Ezcb24EsnRCroVgOvcb/fCLwcofMaY0zU1LX1UlmUhYjMan9f/fvGjuAnVwU+yj84PwUeEJFzgTXAPyJ0XmOMiZq6tp5ZDbv0qShwevYNsd6zV9UL3D89wKXAE8AlqjoSzvMaY0y0qapT2ngWI3F8CrNSSU9JmlM9e1S1gRMjcowxJq4d6xqgf2h01g9nwSl5XFGQSUNHjPfsjTEmUXlmUQBtIuX5GTSGoCCaBXtjjAkDX2njYHL24IzIabSevTHGxKa61h6SBBYUzKwI2ngVBRk0d/YzPDIa1HEs2BtjTBjUtfVSnp9JWkpwYbYsP4NRhZau4CZWWbA3xpgw8AS4yPh0KnwTq4IckWPB3hhjwqCutTfoh7MA5QW+iVXB5e0t2BtjTIh1DwzT2jMY1LBLn1CVTLBgb4wxIeYrgFZVFNxIHIC8jBSy05JpsDSOMcYEZk9DB6rBlwueTl1bDzD70sb+RITygkzr2RtjTCAeO3iMK/7z7zz1QmvYz+WrY78oBDl7cCdWWc/eGGOmd9/zDQAcbO4K+7k8rb0UZKWSn5kakuNV5AdfMsGCvTEm7g0Mj/CnvU3AiTIG4RRsAbTxygsyON49wODw7CdWWbA3xsS9xw8ep6t/mOQkoT5CwT5UKRxwevaq0Nw5+969BXtjTNzbVttAfmYq56+cN1azJlyGR0Y56u0LycNZH99Y+4YgCqJZsDfGxLX+oREe3tvMlrVlLJuXTV1bb0gW8J5MQ3s/w6MakmGXPidWrLKevTHGTOjRAy30DI6wdWM5lcXZDAyPcqw7+AW8J+Nxh12GMo0zNrEqiGAfscVLjDEmGrbVNlKUncYrlxbj69B7WnspzcsIy/l8wy5DmcbJTk8hLyMlqOGX1rM3xsSt3sFh/rKvhS3rykhJThobIeNp7QnbOetae0lLTqIsxDeTioLMoNaitWBvjIlbj+xvoW9ohK0bygFYUJhJkhDWETme1l4WFmWSlCQhPW6wE6ss2Btj4tb22kZKctI5Z0kxAKnJSVQUZIZ1rH2ox9j7lBcEt2KVBXtjTFzqHhjmkf0tXL6+jGS/XnZVcVbYhl+qqhPsg1yKcCIV+Rm09QzSPzQyq/0t2Btj4tJf9jUzMDzK1g0VJ71fWZQdtjROW88g3QPDIaljP16wI3Is2Btj4tL9Oxspy8tgc1XhSe9XFWfR6gblUPONxAlLsPctYjLLiVURC/YiUigiD4jIDhH5QaTOa4xJPJ39Qzx28BiXry8/5UFpZRhH5IRj2KWPb3nC2RZEi2TP/u3AL1R1M5ArIpsjeG5jTAJ5eE8zgyOjXOGOwvHnC/bhSOX4ngWEckKVT1n+HOnZA63AOhEpABYB9RE8tzEmgWyrbWBBQSZnVBac8jPfUoHheEhb19ZLaV46GanJIT92RmoyRdlpNM6yGFokg/3fgSrgo8A+oG38BiJyg5vm2XHs2LEINs0YEy86eod4/NBxrthQjsipY93zMlIpzEoNy/DLutbekNbEGa88P2NO9OxvBd6vqrcD+4F3jt9AVe9S1c2qunnevHkRbJoxJl78cU8Tw6PKFetPTeH4VBaHZ0SOp60nJIuMT6Y8f/Zj7SMZ7AuB9SKSDJwDhH8hSGNMwrm/toHKoiw2LMyfdJuqotCPte8fGqG5cyAsI3F8KgoyZl3mOJLB/qvAXUAHUAT8MoLnNsYkgNbuAZ58oXXSFI5PZVEWR9v7GBqZ/cpP49WHcSSOT3l+Jp39w/TMYthoxIK9qj6jqmtVNUdVL1XV7kid2xiTGP64p5mRUR2rhTOZyuIsRkY1qMVAxvN9Ugh3zx6YVY0cm1RljIkb22obWFKSzZryvCm389WuqQth3t4z1rMP5wNad6z9LKpfWrA3xsSFY10DPP1iK1unSeFAeIZf1rf1kpOeQmFWasiOOd6JFausZ2+MSVAP7W5kVDmlFs5ESnMzSEtJCm3PvrWHyqKsaW80wSjLz0DEevbGmAR2f20jK+bnsKosd9ptk5KEyqIs6kLYs/e09Yb14Sw4JZrn5aRbz94Yk5iaO/t59uW2CcsjTKayKCtkE6tGR5UjbX1hfTjr4yxiYj17Y0wC2l7biAaYwvFxevY9qAY/5aeps5/BkdGwTqjyme3EKgv2xpg5b/uuRlaX5bJ8fk7A+1QVZ9EzOEJbz2DQ5/c96A1nqQSf8gKnZMJMb1IW7I0xc1pDex/VHu+0Y+vH8+XXQ5HKqQ9jHfvxKvIz6RkcobN/ZhOrLNgbY+a07bWNwMxSOHAiMIfiIa2nrYeUJBmb9BRO5bOcWGXB3hgzp23b1ci6BXksLplZCmVhYRYioZlY5WntZUFhJinJ4Q+pY8sTznD45bQtE8eEC42IyJIZnc0YY0Kovq2XnfXtM+7Vg1MfviwvIyQTq+rbeiOSwoETJRMawtSzv09EviUiHxaRswBE5Ezg/2Z0NmOMCaFtbgpnqnLGU1lUlEVdW3DLE46OKi8e62FxGMsk+Jufm0FykoS2Zy8ios4j38PAD4CDwOtEpAb4LnDtLNtrjDFB21bbwMZFBbNeBrCqKCvoNM6hlm66BobZNMGqWOGQnCSU5qaHvGf/oIj8FsgHlgOvADYDfwCOALbCiDEmKl463sOehk6unOEoHH9VxVk0dw7QPzQy62NUe7wAnFFZOOtjzFR5QeaMe/Yp0/z8GpylBD8M3A40Alep6oiILAZ+LCIXayhmJRhjzAxsr20A4PJZpnDgxMLgdW29rCydvszCRKo9Xoqz08JeKsFfWX4Ge452zGif6YL9B4EVwHGgFvgP4CUR+QWwDrjRAr0xJhq21TZyZlUhFQWZsz6Grxyxp3X2wb6mzssZVYVhLYA2XkV+Bn/e24yqBnze6dI4eTjLB74KSMO5OewEngcWA3tm3VpjjJmlwy1d7G/qmvFEqvGCrWvf1jPIS8d7OLMqcikccIZfDgyP4u0dCnif6YL9n4GXgE3AAeANwEZgC/AN4HOza6oxxszettpGRIJL4QAUZKWSm55CXevsRuTUuPn6SAf7seGXM1hpa7pgfyEwiDPyZhXwM5yROU+r6s+AZSJiE7OMMRGjqmyrbeSsxUWU5gU3Y1VEqCyeffXL6jovqcnC+gWTL24eDmMTq2ZQEG3KnL2q3ioi2TijcUbc7T+vqk+6m3xAVUO3Yq8xxkzjYHM3h1u6+dJVa0NyvKriLPY3dc1q32qPlzUV+WSkJoekLYGaTcmEaXvlqtqjqg2q2qyqR32BXkTmAcF9hjLGmBnaVttAksCWdaEJP4uKsjjS1sfI6MzGmgyNjLKzvp0zIzjk0qckO53UZJnRilXBpGDuAN4UxP7GGDMjvhTOK5cVMy83PSTHrCrKZnBklKbOmY1b39vQycDwaMTz9eCstFWWnxHanv1EROSjOJOsvjKb/Y0xZjb2NHTy0vEerlg/81o4k/GNj59p9cuaOncyVVVkZs6OV54/s4lVMwr2IlIiIj/CeXC7RVWDr/pvjDEB2r6rkeQkYcu6spAdc6zU8Qxr5FR7vCwoyBx7WBppFfkZMyqZMOkDWneUzTuAbiAXOAdYAPxAVf8QXDONMWZmnBROA69eXkJRdlrIjluen0FKksy4+mWNx5lMFS3lBZk072pkdFRJSpp+YtVUPfs0YBmwFlgDLAKKgAUSxFQxEfmeiFw52/2NMYmp9kgH9W19bA1ybP14KclJLCzMnNHEqob2Pho6+qOSr/cpz89gaEQ53jMQ0PaT9uxVtR+42f89EckDPgo8LiJXq2rzTBonIucCZap6/0z2M8aY7bsaSU0WXrs2dCkcn8ri7BkFe1++PrrB/sQiJvNzp59vMKOcvap2quqXgc/gVMQM+MmEiKQC/wO8LCJXzeS8xsS7v+xr5j0/3THjRaQThaqyvbaRc1fMIz8rNeTHryzKnFEap9rjJSM1idPK80LelkCV589srP2sRuO4Y+2/AXxvBrv9M7DX3e9sEfnI+A1E5AYR2SEiO44dOzabphkzJ91Tc4Q/72umYQYzIhNJTV07R9v7gq6FM5mqomw6+oboCLDWTE1dOxsXFpAagWUIJ+MrABfoWPtZt1RVfwV8cQa7bALuUtUm4Oc4I3rGH/MuVd2sqpvnzbNS+SYxqOpYTfSDzbObyRnvttc2kpacxCVrSsNy/MriwAui9Q+NsOdoR1RTOACFWamkpySFrmcvIktFZK2IrBKRZSJSJSIVIlKoqgdm0LbDwFL3+82AZwb7GhO3Gjr6ae50HrIdsmB/itFR5YFdjZy/ah55GaFP4cCJ4ZeeAIZf1h7pYHhUI7pYyUREhIqCzIA/DU5Xzx7ghzjpl1Scm0OK+1UiIrWqemOAbfsRzmInb3aPdU2A+xkT13y9+iSBA03dUW5N7Nnh8dLU2c9NG1aH7RxjwT6AvP3YylRR7tmDk7dvDLDyZSDBXlT1wwAi8lrgQ0C9qr5dRB4JtFGq2oWtWWvMKWo8XjJTk9m4KJ9DLdazH297bQPpKUlcfFp4UjgA2ekplOSkUx9AGqfa42VpSXZIx/rPVnl+Jk++cDygbSdN44hInoicj7N4CSJyA9AOPATc5252cXBNNcZUe7xsXJTPmvJ8DjV3MzrDglzxbGRUeWB3Exetnk9OeiB909kLZESOqvJcXXQnU/mrKMigubOf4ZHpiw9PlbPPxlmkZKE7cqYTeCtwFbABwJYkNCY4vYPD7G3s5MyqQlaW5tA3NMIRb+BT4OPdP15q5VjXAFs3hK4WzmSqAhhr72ntpbVnMOoPZ33K8zMZVWjpmn5i1aTBXlUbgR/g5NaL3K//wcm9/05E5onI+tA02ZjEVHukg5FR5cyqQla4a6DaiJwTttU2kpmazEWr54f9XJVFWTR09DE4PHkveSxfH+WHsz4zGWs/3WicrwD/hJPKKQHeCKzGCfwP4CxqYoyZJV/w2LTI6dkDHLBgD8DwyCgP7W7i4tPmk5kW/sVBKouyUIUj3sl799V1XnLTU1gxPyfs7QnEiUVMph+RM10SbAD4BfBToA0QnBWr0oH3qOrOYBpqTKKr8XhZNi+bQvdhX0V+hg2/dD31YittPYMRSeHAiVLHnrZels6bOJjXeLxsqioMqPBYJPiXTJjOdD37DOB64GGgGtiBMwxTgTtFZEswDTUmkakq1XXek1ICK0pzOdhswy8Btu1sJDstmQtWRWaCpW9i1WQjcjr7hzjQ3BWVlakmk5eRQnZackCljqfr2d8K+Io/KE7PPgl4EegB3oMzOscYM0MvHu+hvXfopId9q8pyeerFVkZGleQY6T1Gw9DIKA/taeLSNaURW991Xk46manJk47I2Vnfjmp0i5+NJyKUFwS2iMl0PfuXgFuAZuAY0Kiqz6jqcVXtwyZGGTNrNZ5TKyeumJ/D4PAontaZLaQRb/5++DgdfUMRS+GAEzgri7ImDfbVHi9JAhsXxdajyvIAlyecsmevqkMiMgL8B3A28FcRacEZpdMFHAxBW41JSDV1XvIyUljmlx9eOTYip3vSvHEi2LazkdyMFM5dWRLR81YWZ5GhYgEAACAASURBVE26PGG1x8vK0lxyw1SyYbYq8jPZ3zT9c55AC6E9g1PbZidwJk56593Ak7NtoDGJrtpd6cj/Yd8Kd0ROIg+/HBge4U97m3jt2jLSUyKTwvGpLMqirq33lFLTI6PK83XtMZXC8SkvyOB498CUQ0YhsHIJ4OTr1e/79wAv406uMsbMTEffEAebu09JU2SlpbCoKHNOBPuaOi97GjpDfty61h66+oe5IkzljKdSVZxF39AIx7oGmJ93YkGQQy1ddA0Mx2Swr8jPRBWaO6fO2wca7H1dD99t9mrgKE4Vy5ZZtdCYBPbcFCsdrZyfy6E5MCLnAz+vHqvWGWpleRm8ZnlkUzjgv/h470nBvnqC5yuxwjfWvmGagmhTBnsRuYWTe/UrcerSX4kz2er9wNPBNdWYxFNT1+4+7Dt1sbeVZbk8dugYQyOjUV0cYyrenkGaOwf4+CUruP6cqpAfPzcjJSq/e1VxNuCURdi8uGjs/RpPOyU5aWM3g1gyNtZ+molV0/XsH8KZNZuCM9SyC9gKfEpV60VkTdAtNSYB1Xi8rC7Lm7C418rSHIZGlJeP94yVUIg1vjTTxkUFzMtNj3JrQmdBQSZJ4kys8ldT52VTZSEisTcc9kTJhKmD/ZS3TlV9BngzMKyqV6rqJ1T1CeBPIrIQSNzhAsbM0sioUzlxspTAivlOgI/lsgkHW5w006oYvRnNVlpKEuX5mdT5DX1t7R7gpeM9MZnCAac8c15GyrTDL6fN2avqfhH5wrj3vg8gIv8UVCuNSUAHmrroGRyZNHgsn59DkhDTM2kPNnWRm54y1quMJ1XFWSdVv6ypawdiM1/vU1GQOe1atAElxVR1zyTvJ/bMD2Nmobpu6sqJGanJVBVnx3SNnIPNXSwvzYnJtEawfMMvfao9XlKThfULYmsylb9AJlbF5tMfY+LYcx4vJTnpLCrKnHSblaU5MZvGUVUONnfFXQrHp7I4i+Pdg3QPDANOvn5tRX7EyjbMRnlBZnA5e2NM6FXXeTmzqmDKXvHK0lw8rb0MDI9EsGWBOd49iLd3KGYfHgerqsgZkVPf1svQyCg762NzMpW/ivwM2noGp9zGgr0xEXSsawBPa++0wWNFaS4jo8qLx2IvU+pLL/nq78cb/8XH9zZ0MjA8GjOLlUzGN/xyKhbsjYmgmikmU/lbFcOrVvnaFM9pHIC6tp4TK1NVnTofIpb4JlZNJbwr+BpjTlLjPuxbWzH1w74lJdmkJElMBvsDzd3kZ6bG1fh6f/mZqRRkpVLX1ou3d4gFBZkB9ZyjqSKA9lmwNyaCauq8rFsw/cO+tJQkFpdkx+Twy0Puw9l4HInj4yt1fLil+6SZtLGqLIAhsJbGMSZCBodH2XmkI+CVjlaV5sZcz943EmdFnObrfSqLsni+vp3Gjn7OrIztFA44w3WL3KUtJ2PB3pgI2dPQweDwaMAjO1aU5lDX1kvfYOyMyGnuHKCzf3is7n68qirOoqvfGXp5RoyPxPGZboJbxIO9iJSKyHORPq8x0XbiYV9gwWNlaS6qcLgldlI5B8dG4sR3sPeNyMlITeK08rxpto4N0z1XiEbP/g4gtp92GBMGNXVeFhZmUpoXWImBlTE4IudgnA+79Kl0x9pvXFgQs5VHx6uYZkRORB/QishFONUzmyJ5XpNYvD2DXPVfT+DtnXqSyWy95exKPnf5aTPaR1Wp9ng5Z0lxwPssLs4iLTmJgy2xFeyLs9MozonPkTg+i0ucnv1cSeHA9D37iAV7EUkDvgC8Afj9JNvcANwAUFlZGammmTjzj5daqWvr5Y2bFpCfFdr1Ql8+3sNdj73IWYuLuHRNacD7NXT009w5MKOZmCnJSSydl83BANYXjZSDzd1xn8IBJ3D+2xvWcelpgf8bR9vmxVNfW5Hs2X8W+J6qtk82ZEtV7wLuAti8ebNOuJEx06j2eElLSeKrV68P+Rqmg8OjvP67f+em3+1ic1UhhdOMgPBvE8y8cuLK0tyxfaNNVTnU3MU1Zy6MdlMiIhyLsoTTWdMMEY1kMuoS4EMi8ihwuoj8MILnNgmkpq6d9Qvyw7JYdVpKEt+67nQ6+gb5wn27A2+Tx0tmajKry2bWK15ZmsPR9r6xolzRdLS9j57BkbitiRPvIhbsVfU8Vb1AVS8AnlfV90Tq3CZxDAyPsOtIR1gLV62pyONjF69gW20j22obAtqn2uPl9EUFpMzwYZ8vsMZCuWPfurirZnjDMrEhKo+Z3YBvTMjtPtrJ4Ej4C1e9//xlbFyYzxd+v5tjXVMvut07OMzexs5Z3YBWjQX76A+/9JVcXjnfgv1cNDfGFBkToJoIFa5KSU7izus20jM4wk2/24Xq5I+Yao90MDKqs2rToqIs0lOSYmL45cHmLkrz0kP+0NtEhgV7E1eqPV4qi7KYnxv+5fKWz8/l05et4s/7mvldzdEp2wSwadHMe/bJScLy+bGxkMmhBBmJE68s2Ju4oapU13k5I4K1TN71miVsrirktvv3TLosXI3Hy7J52QGP3BlvVWlu1NM4o6PKoZauscXQzdxjwd7EjSPePo51zWwse7CSk4Q7rt3I8Ihy4z2npnN8N6Bg2rSiNJemzn46+oaCbe6s1Xt76R8aZVVZfM+cjWcW7E3c8C0MEulZj4tLsrnp8tU8dvAYv3ym/qSfvXi8h/beoaCCvS/ARnNEzgF3YpcNu5y7LNibuFHt8ZKdlhyVFZTedk4Vr15ezL9t30t9W+/Y+2MPjIMYHeRLnUSztv0htxjbivnWs5+rLNibuFHt8XJ65czHsodCUpLwjWs2IiL86907GR110jk1dV7yMlJYNm/2QXJBQSZZaclRHZFzsLmLBQWZ5GbYSJy5yoK9iQs9A8Psa+wMeGGQcFhQkMktW9fwj5fa+OlTLwPODeiMqkKSkma/qlNSkrAiyguZHGiK/wVL4p0FexMXdh5pZ1RhU5SrFF67eSEXrprH1x/az/P17Rxs7g7JDWjl/JyopXGGR0Z58ViPDbuc4yzYm7gwlhufxVj2UBIRvnb1BtJTknnXT54FZl78bCIrS3M53j1AW094yjZPxdPWy+DIqAX7Oc4WHE9Qf9nXPKOe4gWr5sX0ij3VHi8r5ufExOzO0rwMbr9qLR/71fMkCWxcFPy4/5VlJxYyecXSwGvih4KvxHK8L1gS7yzYJ6D+oRE+8PMaBkdGA97nB4+9wJ8+fh7zA1xlKZJGR5WaunZet64s2k0Z8/qNFTx64BjHuwfITg/+v5kv0B6KRrBv7kYElttInDnNgn0C2nW0g8GRUf77+jO4cPX8abf3tPaO1XD/4b9sZrL1CKLlxePddPQNxdSqQiLCt67bGLLjleVlkJueEpWyCQdbulhUmEVWmoWLucxy9gnIV6vlnKXFZKQmT/u1qiyXT792FX/Z38Jvq49EufWnqvG0A8GNZQ8HEQnZjVFEWFmWG5WHtAebuiyFEwcs2Cegao+XpSXZFM2gVsu7Xr2Es5cUcfv9e2lon7gGTLRUe7wUZKWytCQ72k0Jq5WlORxq7pqywmaoDQ6P8tJxG4kTDyzYJxhVpcYd+z0TSUnCHddsZESVG++pjWjAmY5T/Cy4sexzwYr5uXh7hzjWPXX9/FB6ubWH4VG1YB8HLNgnGE9rL609g7MaDlhZnMXnLj+Nxw8d5xf/qAtD62auvXeQwy3dES1+Fi2+FaIiWQHzRE0cS+PMdRbsE8xYsbBZ5revP6eSc1eU8JUH9lHX2jv9DmH2XF1s5uvDwRdwfQE4Eg41d5EkBFXuwcQGC/YJptrjJTc9ZdYFrUSEr1+9geRxNWCipabOS3KSsHFRflTbEQnzctIpyErlUEvkgv2B5i4WF2eTkRr6xdtNZFmwTzDVHi+bgqzVUlGQyS1XruGZl9v48RMvhbB1M1ft8XJaeW5CDAsUEVaWRnZEzqHmbkvhxAkL9gmkq3+IA81dIanVcs2ZC7l49Xy++ccDHG6JXs2W5+vbo1r8LNJWluZwsCkyI3L6h0Z4ubUnKiWjTehZsE8gz9e3oxqaWi0iwlffuJ7MtGQ+dfdOhmcwGzdU9jd10Ts4ElOTqcJtZWkuXQPDNHX2h/1cLxzrZlRtwZJ4YcE+gVR7vIgQsvz2/LwMbr9qHTvr2/nBYy+G5Jgz4XvYnAgjcXx8QyAjkcrxjfqxYZfxwYJ9Aqmpa2dVaW5IF6C4ckM5V6wv5z/+fJD9TZ0hO24gqj1e5uems6AgM6LnjaaxYB+BETkHm7tISRKWxPlktURhwT5BjI4qz3mCW/h6IiLCl/5pHfmZqXzy1zsZHI5cOqfGXcg71mr1hFNRdholOekRWcjkYHMXS0qySUuxMBEPIvavKCL5IvKgiPxJRO4VkcDn6pugHWrppmtgOCwpj6LsNP7tDevZ29jJd/96OOTHn0hLZz/1bX0JlcLxWVmaw8EIPBQ/2Nw9VlrZzH2RvGVfD3xLVS8DmoAtETx3wvMVPwtXcHzt2jLeuGkB//XXw9QeaQ/LOfyNTQ5LyGCfy6HmrrDOcegdHKbe28vK+Rbs40XEBier6vf8Xs4DWoI9Zlf/EK//7hPcuGUVW9aVB3u4uFbt8VKcnUZlUVbYznHrlWt54oXjfOo3O7n/I68J60Scao+XtJQk1lbE7oIq4bKyNJfewRGWfu4BAslgZael8J23buLCVdOXs/Y53NKNqi1YEk8iPhNFRF4JFKrq0xP87AbgBoDKysppj/Xnfc28dLyHnz9dZ8F+GjV1TvGzcOa387NS+frVG3jH/3uWf3/4IDddflrYzlXt8bJhQT7pKYk3s3PrxnLaegYCfj7ywO4mPn13LQ9/4jwKA6x06hvtY2mc+BHRYC8iRcB3gKsn+rmq3gXcBbB58+ZpP6Nu29kIwJMvHOd49wAlOemha2wcaesZ5KXjPbzprEVhP9cFq+bzlrMXcdfjL3LZ2lLOrCoK+TkGhkfYfbSTd7x6cciPPRfkZaTy4YtWBLz9lnXlXPVff+eWP+zhO2/ZFNA+h5q7SEtOoiqMnwRNZEXyAW0acDdwk6p6gj1eR98Qjx06xrkrShhVeGh3U/CNjFM1Yc7Xj3fzFWtYUJDJp36zk97B4ZAff/fRTgZHRhOi+FkorKnI42MXr+D+nQ1sr20MaJ8DzV0snZdNSrKNxIkXkfyXfDdwBnCziDwqIm8K5mB/2tPE0IjyyUtXsmxeNttqG0LTyjhUXeclNVlYvyAyxcJy0lP4xjUbeLm1l288dCDkx/fdvM6oCn4h70Tx/vOXsXFhPp///S6OdU1fD/9Qc/dYSWUTHyIW7FX1v1W1UFUvcL9+HczxttU2srAwk9MXFXDFhgr+8VIbLRGYQj4XVXu8rKnIj2jlwlctK+Edr1rMT558mSdfOB7SY1d7vFQWZTE/N/YWP49VKclJ3HndRnoGR/jcvbumrK3T1T/E0fY+mzkbZ+bkZzRvzyBPHD7OFRvKERGu3FCOKjywK7CPqIlkaGSU2iPRKRZ245bVLCnJ5tN319LVPxSSY6oq1XWhnxyWCJbPz+XTl63i4b3N3Pvc0Um3O+SO4Z9tGWwTm+ZksP/jniaGR5UrN1QATqGmVaW5bLdgf4p9jZ30D41GJThmpiVzx7UbaOzo4ysP7AvJMY94+zjWNcAZlZbCmY13vWYJm6sKufUPe2jsmHgt4UPu7FxL48SXORnst9U2srg466Qx1ls3lPPsy95JL+BEVR3l/PaZVUW897yl/PKZev56IOipFQk9mSoUkpOEO67dyPCIcuM9E6dzDjR1k5GaxKJCG4kTT+ZcsD/ePcCTL5xI4fhcscEZZx/oaINEUe3xsqAgk/L86BUL+8QlK1kxP4fP3lNLR29w6Zxqj5fstGSrsR6ExSXZ3HT5ah47eIxfPVt/ys8PtXSxYn5u3C/gnmjmXLB/aHcTowpb3RSOz9J5Oawpz7NUzjg1Hm/Ue8EZqcl867rTOd49yG337wnqWNUeL6dXFtiQwCC97ZwqXrWsmC9v20t928lrCR9s7rLVqeLQnPsfs622gWXzslk9QT5x68Zynqtr54g3+gthx4KG9j4aOvpjIr+9fmE+H7pwOfc+d5Q/7pndnIiegWH2NXYm1MpU4ZKUJHzjmg2ICJ/+7Ym1hDt6h2juHLCROHFoTgX7ls5+/vFSG1dsqJhw2v/W9U5v31I5jlhb3OPDFy5nbUUeN9+7i9bu6cd6j7fzSDujCpti5PeZ6xYWZvGFrafx9Itt/PSplwE46C5mbmmy+DOngv2Du5tQdRbMmEhlcRYbFuazzYI9ADWedjJSkzitPDaKhaWlOGO9O/qG+MJ9u2e8jurYZKpFFuxD5brNi7hw1Ty+/tB+XjzWPVYn39I48WdOBftttQ2sKs2dck3MrRvK2XW0A09rTwRbFpuq67xsXFhAagzlt1eX5fHxS1bywK4m7p/hTbna42XF/Bzys0K30laiExG+dvUG0lOS+de7d7KvsZPstOSEWv0rUcROFJhGY0cfz77sZeskvXqfy9c7P0/03n3/0Ah7jnbETArH3/vOW8rpiwr4wu93BzzreXRUqalrj8nfZ64rzcvgi69fS01dO7959ggrSnMTavWvRBHxEsez5cvDXzFNsF9YmMWmygK21TbyoQuXR6JpHG7p5nBLN1vWlYX0uL2Dw/zh+QauOn0BmWkzK3VQe6SD4VGNyWJhvqn7l3/7cd7/82peuax42n16Bkbo6BuK+siieHXV6RU8uLuRP+5pthr2cWruBPtdjawpz2PpvOkvxK0bKvjStr28cKybZQFsH4yu/iH+5cfPcLS9j1+85xxevbwkZMe+/f69/OrZevY2dnL7VetmtO+JyVSxGRyXzcvhi69fy23376H2SEdA+xRkpYb079ecICL82xvW8+KxHs5bOS/azTFhMCeC/RFvL8/VtfOZLasC2v6K9eV8adtettc28tGLA6/7PRtfeWAfjR19lOdn8Jnf1vLgx88lLyP4nPJfD7Twq2frWVCQyf8+5eG1a8tmFOiqPV6WlmRTFOBiFdHw5rMrefPZ0y9SYyKjJCedhz95frSbYcJkTuTsfSkc39DK6ZTlZ3DW4sKwlz3+64EWfvlMPe89bynfu/4MGjv6+PK2vUEft6N3iM/eU8vK0hwe+Ni5LC3J5jO/DbyYmKryXF30J1MZY2LH3Aj2uxrZsDCfyuLAa3Vs3VDBweYTQ8lCzT8gf+KSlWyqLOT95y/jNzuO8Mj+5qCOfdv9e2jtHuTOa08nPzOVO67b6N5IAism5mntpbVn0B5mGmPGxHyw97T2UHukY9pROOO9bn0ZSQLbdoand//F+/dw3A3IvjrxH7tkBavLcvnsPbto7x2c1XEf2t3Evc8d5UMXLmf9QmexkTMqC3nf+cv49Y56/rp/+mJiY/n6GHw4a4yJjpgP9r4hlL4hlYGan5vBOUuK2barccaTd6bzxz1N/G5cQAZIT0nmjms30tYzyK1/mHkNmNbuAW6+dxdrK/L48EUnjyT6+CUrWFWay4331E57I6mu85KbnmL1yI0xY+ZEsN9UWcDCWZRbvWJDOS8e62FfY+hSOScF5AmGdq5bkM9HLlrBfc838OAMirKpKp///W66+oe587qNp0yESk9J5s7rnBvJbdPcSGo8XjZVFVrVQmPMmJgO9i8c62ZfY+cpFS4D9bp1ZSQnScge1KoqX7hvNx19Q9x53UbSUib+6/vghctYvyCfm3+/m+MB1oD5w84GHtzdxMcvXcHqsonLG6xbkM+HL1rO759v4KHdE99IuvqHONDcZcXCjDEnielgv722ERFnKOVsFOek86plxWwPUSrn/tpGHtjVxCcuXTlpQAZIdScNdfcP8/l7p68B09LZzy337WFTZQE3nLt0ym0/dOFy1i3I4+Z7d09YTOz5+nZUY6f4mTEmNsR0sN9W28BZVUWU5c9+YemtG8rxtPay+2hnUG1p6eznC7/fzemLpg/IACtLc/nkZSt5aE8Tf5jiIbGqctPvdtE/NMId126ctk57anIS37rudLr6h/n870+9kVR7vCQJbFyUP8kRjDGJKGaDff/QKAebu6ctjzCd164tIyXIVI5/QL7zuukDss97z13KGZVODZjmSWrA3F19hL/sb+EzW1YHPNt3ZWkun7h0JQ/uPvVGUu3xsrI0l9wQTOwyxsSPmA32HX2DJIkzhDIYBVlpvGZFCdtqZ5/K+e0sAjKcWO9zcGSUz95Te8r5j7b38aX793LOkiLe+arFM2rTDectZVNlAbfct2fsRjIyqjxvxcKMMROI4WA/xDlLipmfO/sUjs/WDRUcbe/j+fr2Ge/b0N7H7ffv5exZBGRwlku8cctq/nrgGL/ZcWK9T1Xlxt/WMqLKN6/ZOOORM8lJwp3XbmRgeISbfucsHH2opYuugWEL9saYU8RssB8YHg06heNz6ZpS0pKTZlz2WFX5jBuQ75hFQPb5l1cu5hVLi/jStn1jSyb+/B91/P3wcW6+4rQZzQz257uRPLK/hburj1DjcW5mFuyNMeNFNNiLyI9E5CkR+Xwg278uRCWD8zNTOW9lCdtrG8fW2gyELyB/7vLZB2Rw1vv85jUbx24eLx/v4asP7OPcFSW8NchCYL4bye3372X7rgZKctKoLJp9W40x8SliwV5E3ggkq+orgaUiMmU5ypz0FIpz0kN2/q0bKmjq7OepF1vpGRie9utwS9dYQL7+nOArMy4qyuLmK9bw5AutXPP9J0kW4etXbwh6kQj/G8kTh1vZVFloC08YY04RyRLHFwC/cb//E/Aa4NBkGxdkhnY0ySVrSklPSeL6H/4j4H1y01NCEpB93nL2Ih7a08RjB49xx7UbqQjR0m++G8nn7t1lKRxjzIQiGeyzgaPu923AGeM3EJEbgBsAFlZWhfTkOekp/M8/b2Z/U+Dj7V+1rCRkARmcBSK+8+ZNPPNyG5ecNj9kxwXnRpKfmcq5K21xD2PMqSTURcImPZHIt4FfqurTbkpntap+ZbLtN2/erDt27IhI24wxJh6ISLWqbp7oZ5F8QFuNk7oB2Ai8HMFzG2NMQotkGuf3wOMiUgG8DnhFBM9tjDEJLWI9e1XtxHlI+zRwoaoGtsq0McaYoEV0wXFV9XJiRI4xxpgIidkZtMYYY0LHgr0xxiQAC/bGGJMALNgbY0wCiNikqpkSkQ6mKKcwTj4Q6OieWNi2BDgehuPOdPt43jZW2mHXRWxtGyvtCNd1sUJVJ16mTlVj8gu4K4633RGO48bQ7xf1bWOlHXZdxNa2sdKOaFwXsZzGuT+Ot52JmR43Fn6/WNg2Vtph10VsbRsr7Yj4dRGzaZx4JiI7dJL6FSZx2XVhJhKq6yKWe/bx7K5oN8DEJLsuzERCcl1Yz94YYxKA9exNRInIbSLytil+/mgEm2NihF0X4WfBPgKmu5BNYrLrwkwkXNeFBXsTDbeJyAUAIvIOEXlHdJtjYoRdF2EU0aqXiU5EHsJZnvGwqr5TRG4DUoFzgTxgi6o2RbGJJgrsujATCfV1YT37yFkCfAe4BFgsIqXu+8tV9Tzgd8BF0WpcOInIm309NteI3/ehW+R3brLr4gS7Lk4I+XVhwT5MJriQh4H3AL8AijhxMf+v+2cdkBaxBkZWFvBq9/slOL/zPPf1lqi0KErsujiJXReuSFwXFuzDZ/yFfBHwW+AtQI/fdj3Ev18DrxaRv7mv7wM+IiLfB1qj16yosOviBLsuTgj7dWE5+/D5NXC3eyG/DHwJ+B7wfvfnC6LUrohT1R7g8nFvnzfJtheEvUHRZdeFy66Lk4T9urBJVcYYkwAsjWOMMQnAgr0xxiQAC/YhJiL5IvKgiPxJRO4VkTQR+ZGIPCUin/fbrlREHvd7/UURedT92i8iN0XnNzDhEMR1sVRE/iIiz4vIF6LTehMuQVwXZ4jIn0XkCRH5VCDnsmAfetcD31LVy4Am4M1Asqq+ElgqIitEpBD4Kc6ECQBU9VZVvcB9ELWbE0OsTHyY1XUBfBi4RVVPB14rIvPGH9jMabO9Lr4DvBN4DXC1iCyZ7kQW7ENMVb+nqg+7L+cBbwN+477+E84/zgjwJqBz/P4ichZwRFWPRqC5JkKCuC5agQ3upJp0oD0yLTaREMR1UaSq9eqMsGnFmVE7JRt6GSYi8kqgEGcYlS9wtwFnqGqnu81Eu34MuDUCTTRRMIvr4iHgo8BC4BGcyTYmzsziunhCRD7sbrMYqJ3uHNazDwMRKcL5mPUuoJsTs99ymOLvXEQKgPmq+kLYG2kibpbXxWeBd6jqze72l4a7nSayZnldvA/Yj5Pm+7oGMIbegn2IiUgacDdwk6p6gGqcj2IAG3Hu3JO5CnggrA00URHEdbEEWCQiGcAZgE2MiSOzvS5UdQQ44L78RSDnsmAfeu/G+U95s7vgggBvF5FvAdcB26fY97XAY2FvoYmG2V4XtwKPAseAepxUjokfwcSLLwM3BtKrB5tBGxHu0/RLgcesVK3xsevCTCRc14UFe2OMSQCWxjHGmARgwd4YYxKABXtjJiAixSLyFvf7VJlkUoQxc4Xl7I1xicjHgAFV/b6IpAMHgSuBm4BSYNTd9Exgsap2+O2bBrxFVX/qvt6PM/3d32rgMlWddgKMMaFmM2hNQhGR84H/Aw4Bq1W1zO/Hw8CQiCTjLAX3SaBJVd8y7hiPAoPjDv0OnNmuPk3jF9wQkZ+QGCtQmRhkwd4kmmHgXlX9sIg8KyLvAta572/E6b0PAzeo6qtF5I9u8PfxrY069pFYRLKBYlWt89suz70p+FsN3BbS38aYAFmwN4lmBHiDiKzDKU3xYxFZpKr1IvJ+oB9nibh3utunqOrF4PToVXV4gvT9u4Efj3uvTVUv8X/D7dkbExX2gNYkmhGcnv0FQKOIZAL3i0j+JNuvduuG/xmn538Sd780VW0e96OsUDbamGBZz94kXXJr2QAAARRJREFUGv8Ojqhqn4j8F7B5ku33+XroE6RlAN4L/GiC9yvdG4S/NVgax0SJBXuTaFI4kcZZAKCq/wMgIism2P50v6C9UUTG/s+4C4kMqarXfwd3IYnnVPXKce//JGS/hTEzZMHeJJpkTjygHb9ugC8Zn+T7XlVLxh/AHWY5CrwHpzTteDcA90zwfgpWtdJEiQV7k2h24JaGVdUv+t4UkWtxFgl5D04d8fSJdhaRX+A8tB0UkR+pave4ny8BLgNu8XsvHXjCfWkFz0xU2KQqYwD3Qe2oqg5Ms12uqnZNs02qqg6Ney9JVUcn28eYcLNgb4wxCcCGXhpjTAKwYG+MMQnAgr0xxiQAC/bGGJMALNgbY0wC+P+tPyKvhJDdhAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pivot_count.sum().plot()\n",
    "plt.xlabel('时间/月')\n",
    "plt.ylabel('复购人数')\n",
    "plt.title('16~19年每月的复购人数折线图')\n",
    "#整体来看，复购人数长线上升趋势\n",
    "#但是在18年2.3.4.10和19年2月份，复购人数下降较为明显，出现异常信号，需要和业务部门具体分析情况"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## c3.回购率分析"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "31"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#回购率：在某一个时间窗口内消费过的用户，在下一个时间窗口仍旧消费的占比。\n",
    "#举个例子：当前月消费用户人数1000人，其中200人在下一个月仍旧进行了消费，回购率200/1000=20%\n",
    "pivot_purchase = df.pivot_table(index='author',\n",
    "                columns='month',\n",
    "               values='frequency',\n",
    "               aggfunc='count'\n",
    "              ).fillna(0)\n",
    "pivot_purchase.head()\n",
    "len(pivot_purchase.columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, '回购率%')"
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "def purchase_return(data): #data:代表的是每一名游客的所有月份消费记录\n",
    "    status = [] #存储每一个月回购状态\n",
    "    for i in range(30):#遍历每一个月（最后一个月除外）\n",
    "        ####本月消费\n",
    "        if data[i] == 1:\n",
    "            if data[i+1] ==1:#下个月有消费，是回购用户，1\n",
    "                status.append(1)\n",
    "            else:#na|未消费\n",
    "                status.append(0) #非回购用户，0\n",
    "        else: ####本月未消费\n",
    "            status.append(np.NaN)\n",
    "    status.append(np.NaN)\n",
    "    return pd.Series(status,pivot_purchase.columns)\n",
    "pivot_purchase_return = pivot_purchase.apply(purchase_return,axis=1)  #用户回购状态\n",
    "(pivot_purchase_return.sum()/pivot_purchase_return.count()).plot()\n",
    "plt.title('16年~19年每月的回购率')\n",
    "plt.xlabel('月份')\n",
    "plt.ylabel('回购率%')\n",
    "#回购率最高在18年6月份，达到4%\n",
    "#整体来看，回购率呈现微弱上升趋势\n",
    "#出现了几次较大下滑，分别是17年6月份，18年1月份，18年8月份，19年1月份"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## c4.回购人数分析"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "month\n",
      "2016-08-01     0.0\n",
      "2016-09-01     0.0\n",
      "2016-10-01     0.0\n",
      "2016-11-01     0.0\n",
      "2016-12-01     2.0\n",
      "2017-01-01     1.0\n",
      "2017-02-01     1.0\n",
      "2017-03-01     2.0\n",
      "2017-04-01     2.0\n",
      "2017-05-01     2.0\n",
      "2017-06-01     0.0\n",
      "2017-07-01     3.0\n",
      "2017-08-01     2.0\n",
      "2017-09-01     3.0\n",
      "2017-10-01     3.0\n",
      "2017-11-01     6.0\n",
      "2017-12-01     4.0\n",
      "2018-01-01     2.0\n",
      "2018-02-01     4.0\n",
      "2018-03-01     3.0\n",
      "2018-04-01     2.0\n",
      "2018-05-01    12.0\n",
      "2018-06-01    14.0\n",
      "2018-07-01    11.0\n",
      "2018-08-01     6.0\n",
      "2018-09-01    10.0\n",
      "2018-10-01    12.0\n",
      "2018-11-01    17.0\n",
      "2018-12-01     8.0\n",
      "2019-01-01     8.0\n",
      "2019-02-01     0.0\n",
      "dtype: float64\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pivot_purchase_return.sum().plot()\n",
    "plt.title('16年~19年每月的回购人数')\n",
    "plt.xlabel('月份')\n",
    "plt.ylabel('回购人数')\n",
    "print(pivot_purchase_return.sum())\n",
    "#整体呈现上升趋势，回购人数最多时在18年11月份，人数未17人\n",
    "#其中有几次回购人数下降较为明显，主要在分别是17年6月份，18年1月份，18年8月份，19年1月份"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## c5.每个月分层用户占比情况"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x18b0fed7a88>"
      ]
     },
     "execution_count": 83,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#活跃用户|不活跃用户|回流用户|新用户\n",
    "def active_status(data): #data：每一行数据（共31列）\n",
    "    status = [] #存储用户31个月的状态（new|active|unactive|return|unreg）\n",
    "    for i in range(31):\n",
    "        #判断本月没有消费==0\n",
    "        if data[i] ==0:\n",
    "            if len(status)==0: #前几个月没有任何记录（也就是97年1月==0）\n",
    "                status.append('unreg')  \n",
    "            else:#之前的月份有记录（判断上一个月状态）\n",
    "                if status[i-1] =='unreg':#一直没有消费过\n",
    "                    status.append('unreg')\n",
    "                else:#上个月的状态可能是：new|active|unative|reuturn\n",
    "                    status.append('unactive')\n",
    "        else:#本月有消费==1\n",
    "            if len(status)==0:\n",
    "                status.append('new') #第一次消费\n",
    "            else:#之前的月份有记录（判断上一个月状态）\n",
    "                if status[i-1]=='unactive':\n",
    "                    status.append('return') #前几个月不活跃，现在又回来消费了，回流用户\n",
    "                elif  status[i-1]=='unreg':\n",
    "                    status.append('new') #第一次消费\n",
    "                else:#new|active\n",
    "                    status.append('active') #活跃用户\n",
    "            \n",
    "    return pd.Series(status,pivot_purchase.columns) #值：status,列名：18个月份\n",
    "pivot_purchase_status  =pivot_purchase.apply(active_status,axis=1)\n",
    "pivot_status_count =pivot_purchase_status.replace('unreg',np.NaN).apply(pd.value_counts)\n",
    "pivot_status_count.T.plot.area()\n",
    "#可以看出，红色（不活跃用户）占据网站用户的主体\n",
    "#橙色（新用户）从17年的1月~19年1月，呈现上升趋势；但是在18年4月份左右，新用户的量突然急剧下降，异常信号；\n",
    "#以后，新用户又开始逐渐上涨，回复稳定状态\n",
    "#绿色（回流用户），一直维持稳定稳定状态，但是在18年2~4月份,出现异常下降情况，异常信号；"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## c6.每月不同用户的占比\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x18b0f5ddb08>"
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "return_rate = pivot_status_count.apply(lambda x:x/x.sum())\n",
    "return_rate.T.plot()\n",
    "#在17年1月份过后，网站用户主体由不活跃用户组成，新用户占比开始逐渐下降，并且趋于稳定，稳定在10%左右\n",
    "#活跃用户和会用户，一直很稳定，并且占比较小\n",
    "#16年9月前后，新用户和不活跃用户，发生较大的变化，猜测：活动或者节假日造成...."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## c7.每月活跃用户的占比"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '每月活跃用户的占比分析')"
      ]
     },
     "execution_count": 85,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "return_rate.T['active'].plot(figsize=(12,6))\n",
    "plt.xlabel('时间(月)')\n",
    "plt.ylabel('百分比')\n",
    "plt.title('每月活跃用户的占比分析')\n",
    "#在17年1月份活跃用户占比较高，在0.5%，但是在1-2月份，急剧下降，猜测：春节的影响，或者温度\n",
    "#结合历年1~2月份销量来看，都会出现一定比例的下降，再次验证我们的猜测：春节的影响\n",
    "#在18年2月和5月出现异常，门票销量下降，猜测：雨水或者台风影响"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## c8.每月回流用户占比"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '每月回流用户的占比分析')"
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "return_rate.T['return'].plot(figsize=(12,6))\n",
    "plt.xlabel('时间(月)')\n",
    "plt.ylabel('百分比')\n",
    "plt.title('每月回流用户的占比分析')\n",
    "#整体来看，回流用户比例上升趋势，但是波动较大\n",
    "#在17年1月和6月，18年4月，19年2月，回流用户比例都出现了较大幅度下降，表现为异常信号\n",
    "#不论是回流用户还是活跃用户，在以上几个月份中都表现出下降趋势。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.00736823576229978"
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.mean(return_rate.T['return'])  #回流用户平均值在0.73%左右\n",
    "#在17年9月份以后，仅有连个异常点在平均值一下\n",
    "#在17年9月份以前，所有数据都显示出回流用户比例低于平均值，猜测：景点开放不久，很多游客尚未发现本景点；本景点在该平台上线不久"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## d1.用户的生命周期"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>time</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>7722</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>23 days 01:45:32.867132</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>98 days 16:47:46.849668</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0 days 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>0 days 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>0 days 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>0 days 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>864 days 00:00:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          time\n",
       "count                     7722\n",
       "mean   23 days 01:45:32.867132\n",
       "std    98 days 16:47:46.849668\n",
       "min            0 days 00:00:00\n",
       "25%            0 days 00:00:00\n",
       "50%            0 days 00:00:00\n",
       "75%            0 days 00:00:00\n",
       "max          864 days 00:00:00"
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#计算方式：每一个用户最后一个购买商品的时间——用户第一次购买商品的时间，转换成天数，即为生命周期\n",
    "time_min = df.groupby('author')['time'].min()\n",
    "time_max = df.groupby('author')['time'].max()\n",
    "life_time = (time_max-time_min).reset_index()\n",
    "life_time.describe()\n",
    "#通过原样本8757条和count=7722得知，存在一个用户多次消费的情况\n",
    "#平均生命周期天数23天，通过25%  50%  75%分位数得知，绝大多用户生命周期为0天\n",
    "#最大生命周期为864天\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## d2.用户生命周期直方图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                  author   time  life_time\n",
      "0                wenbiao 0 days        0.0\n",
      "1      Goh Yu Wen Eunice 0 days        0.0\n",
      "2               Hui Shan 0 days        0.0\n",
      "3                 Huihui 0 days        0.0\n",
      "4               KO-CHENG 0 days        0.0\n",
      "...                  ...    ...        ...\n",
      "7717                  芊羽 0 days        0.0\n",
      "7718                  華山 0 days        0.0\n",
      "7719                   蘇 0 days        0.0\n",
      "7720                  郁君 0 days        0.0\n",
      "7721                  青慧 0 days        0.0\n",
      "\n",
      "[7130 rows x 3 columns]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#讲日期类型转成数值类型\n",
    "life_time['life_time'] = life_time['time']/np.timedelta64(1,'D')\n",
    "life_time['life_time'].plot.hist(bins = 100,figsize=(12,6))\n",
    "plt.xlabel('天数')\n",
    "plt.ylabel('人数')\n",
    "plt.title('所有用户的生命周期直方图')\n",
    "print(life_time[life_time['life_time']==0])\n",
    "#生命周期为0的用户（仅仅在一天内有过消费，之后再没消费过），存在7130个用户\n",
    "#由于总用户数为7722，其余592人属于优质的忠诚客户"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## d3.生命周期大于0天的用户，直方图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "300.9662162162162"
      ]
     },
     "execution_count": 90,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "life_time[life_time['life_time']>0]['life_time'].plot.hist(bins = 100,figsize=(12,6))\n",
    "plt.xlabel('天数')\n",
    "plt.ylabel('人数')\n",
    "plt.title('生命周期在0天以上的用户分布直方图')\n",
    "life_time[life_time['life_time']>0]['life_time'].mean()\n",
    "#去掉生命周期为0的用户，可知\n",
    "#用户平均生命周期为300天,生命周期在100天的用户量达到了最大值17人\n",
    "#生命周期在100~350天来看，用户量呈现缓慢下降的趋势\n",
    "#350~800天左右来看，用户量下降速度明显，存在一定用户流失，而忠诚用户越来越少"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## d4.各时间段的用户留存率"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[27 70 55]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[(0, 59], (59, 70], (0, 59]]\n",
       "Categories (4, interval[int64]): [(0, 59] < (59, 70] < (70, 80] < (80, 100]]"
      ]
     },
     "execution_count": 97,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#pd.cut()函数\n",
    "np.random.seed(666)  #保证每次运行程序产生的随机数都是相同的。\n",
    "score_list = np.random.randint(25,100,size=3)\n",
    "print(score_list)\n",
    "bins = [0,59,70,80,100]   #指定多个区间\n",
    "score_cut = pd.cut(score_list,bins)\n",
    "score_cut"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "time_diff_bin\n",
      "(0, 90]       0.022663\n",
      "(90, 180]     0.019814\n",
      "(180, 270]    0.016058\n",
      "(270, 360]    0.014893\n",
      "(360, 450]    0.014375\n",
      "(450, 540]    0.009842\n",
      "(540, 630]    0.007641\n",
      "(630, 720]    0.004921\n",
      "(720, 810]    0.002720\n",
      "(810, 900]    0.000389\n",
      "dtype: float64\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '各时间段内的用户留存率')"
      ]
     },
     "execution_count": 123,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#留存率：1-90天~有多少留存用户。求出用户的留存天数，比如留存天数==89，属于1~90天内的留存用户\n",
    "#留存天数计算方式：用户每一次的消费时间分别减去用户第一次消费时间\n",
    "#left:左表，right：右表，how:连接方式，on：连接字段，suffixes：针对相同列名，指定不同的后缀\n",
    "user_purchase_retention = pd.merge(left=df,right=time_min.reset_index(),how='inner',on='author',suffixes=('','_min'))\n",
    "\n",
    "#计算留存天数\n",
    "user_purchase_retention['time_diff'] = user_purchase_retention['time']-user_purchase_retention['time_min']\n",
    "#将time_diff转成数值\n",
    "user_purchase_retention['time_diff'] = user_purchase_retention['time_diff'].apply(lambda x:x/np.timedelta64(1,'D'))\n",
    "\n",
    "#生成时间跨度(3个月，即90天)，判断属于哪个区间\n",
    "bin = [i*90 for i in range(11)]\n",
    "user_purchase_retention['time_diff_bin'] = pd.cut(user_purchase_retention['time_diff'],bin)\n",
    "\n",
    "#统计每个游客，在不同的时间段内的消费频率和值（便于稍后判断该用户在某个区间内是不是留存用户）\n",
    "pivot_retention =  user_purchase_retention.groupby(['author','time_diff_bin'])['frequency'].sum().unstack()\n",
    "\n",
    "#判断是否是留存用户（1：留存，0：未留存）\n",
    "pivot_retention_trans = pivot_retention.fillna(0).applymap(lambda x:1 if x>0 else 0)\n",
    "#留存率\n",
    "print(pivot_retention_trans.sum()/pivot_retention_trans.count())\n",
    "(pivot_retention_trans.sum()/pivot_retention_trans.count()).plot.bar()\n",
    "plt.xlabel('时间跨度(天)')\n",
    "plt.ylabel('留存率')\n",
    "plt.title('各时间段内的用户留存率')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#如图，每个周期是3个月，第一个周期的留存率在2.2%，前三个周期的递减速度在0.3%左右。\n",
    "#在第四五个周期的时候趋于平稳，稳定在留存率1.5%左右\n",
    "#从第五个周期开始，留存率明显下降，下降到几乎0%，在第四五周期（1年）的时候，需要采取方法将用户留住进行再次消费。\n",
    "#如果在跨度为1年的时候，不召回用户，则就会面临大量用户流失的风险。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
